Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Ignacio Arrese"'
Autor:
Santiago Cepeda, Sergio García-García, Ignacio Arrese, Francisco Herrero, Trinidad Escudero, Tomás Zamora, Rosario Sarabia
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109617- (2023)
Glioblastoma, a highly aggressive primary brain tumor, is associated with poor patient outcomes. Although magnetic resonance imaging (MRI) plays a critical role in diagnosing, characterizing, and forecasting glioblastoma progression, public MRI repos
Externí odkaz:
https://doaj.org/article/dbd7d6293e00445daaf85598a08e50a8
Autor:
Sergio García-García, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramón Torné, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia
Publikováno v:
Brain Sciences, Vol 14, Iss 1, p 10 (2023)
Background: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional neural networks (CNN) are capable of generating highly accurate predictions from imaging data. Our objective was to predict mortality in SAH patients
Externí odkaz:
https://doaj.org/article/5e40edf087ba41fdab7e6cd52f32d23c
Autor:
Santiago Cepeda, Luigi Tommaso Luppino, Ole Solheim, Angel Pérez-Núñez, Sergio García-García, Anna Karlberg, Live Eikenes, Tomas Zamora, Rosario Sarabia, Ignacio Arrese, Samuel Kuttner
Publikováno v:
Brain and Spine, Vol 3, Iss , Pp 101960- (2023)
Externí odkaz:
https://doaj.org/article/58e9482094514abc9d4e4f0344a64cdb
Autor:
Sergio García, Santiago Cepeda, Dominik Muller, Alejandra Mosteiro-Cadaval, Ramon Torne, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia
Publikováno v:
Brain and Spine, Vol 3, Iss , Pp 101995- (2023)
Externí odkaz:
https://doaj.org/article/29fa06abc115493eabbca8b3f3bf8a76
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
ObjectiveOpen surgical clipping has been generally considered the best treatment option for unruptured middle cerebral artery aneurysms (uMCAAs). However, this type of aneurysm is being treated endovascularly with the appearance of new devices. We ha
Externí odkaz:
https://doaj.org/article/b8441303f56f4ec29b778e7490298418
Autor:
Santiago Cepeda, Luigi Tommaso Luppino, Angel Pérez-Núñez, Ole Solheim, Sergio García-García, María Velasco-Casares, Anna Karlberg, Live Eikenes, Rosario Sarabia, Ignacio Arrese, Tomás Zamora, Pedro Gonzalez, Luis Jiménez-Roldán, Samuel Kuttner
Publikováno v:
Cancers, Vol 15, Iss 6, p 1894 (2023)
The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a predictive model that identif
Externí odkaz:
https://doaj.org/article/9849897cdb174f9f9cccf331e9b21169
Autor:
Sergio García-García, Manuel García-Galindo, Ignacio Arrese, Rosario Sarabia, Santiago Cepeda
Publikováno v:
Medicina, Vol 58, Iss 12, p 1746 (2022)
Background and Objectives: Survival estimation for patients diagnosed with Glioblastoma (GBM) is an important information to consider in patient management and communication. Despite some known risk factors, survival estimation remains a major challe
Externí odkaz:
https://doaj.org/article/676eb91f790e44d5b41dcafeda4f39c3
Autor:
Santiago Cepeda, Sergio García-García, Ignacio Arrese, Gabriel Fernández-Pérez, María Velasco-Casares, Manuel Fajardo-Puentes, Tomás Zamora, Rosario Sarabia
Publikováno v:
Frontiers in Oncology, Vol 10 (2021)
BackgroundThe differential diagnosis of glioblastomas (GBM) from solitary brain metastases (SBM) is essential because the surgical strategy varies according to the histopathological diagnosis. Intraoperative ultrasound elastography (IOUS-E) is a rela
Externí odkaz:
https://doaj.org/article/c84e44d355874073bbdbfc3b965e2a44
Autor:
Santiago Cepeda, Angel Pérez-Nuñez, Sergio García-García, Daniel García-Pérez, Ignacio Arrese, Luis Jiménez-Roldán, Manuel García-Galindo, Pedro González, María Velasco-Casares, Tomas Zamora, Rosario Sarabia
Publikováno v:
Cancers, Vol 13, Iss 20, p 5047 (2021)
Radiomics, in combination with artificial intelligence, has emerged as a powerful tool for the development of predictive models in neuro-oncology. Our study aims to find an answer to a clinically relevant question: is there a radiomic profile that ca
Externí odkaz:
https://doaj.org/article/587d173d98d5443cb6e83cd4a4fd1c5e
Publikováno v:
Medical Sciences Forum, Vol 8, Iss 1, p 12 (2021)
Background: Intraoperative ultrasound (ioUS) images of brain tumors contain information that has not yet been exploited. The present work aims to analyze images in both B-mode and strain-elastography using techniques based on artificial intelligence
Externí odkaz:
https://doaj.org/article/bb5ce17082b54545b90188f2d801482c